Articles | Volume 13, issue 8
https://doi.org/10.5194/essd-13-3755-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-3755-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
03 Aug 2021
Data description article |
| 03 Aug 2021
| 03 Aug 2021
A multi-source 120-year US flood database with a unified common format and public access
Hydrology and Water Security Program, Civil Engineering and
Environmental Sciences, University of Oklahoma, Norman, OK 73072, USA
Mengye Chen
Hydrology and Water Security Program, Civil Engineering and
Environmental Sciences, University of Oklahoma, Norman, OK 73072, USA
Shang Gao
Hydrology and Water Security Program, Civil Engineering and
Environmental Sciences, University of Oklahoma, Norman, OK 73072, USA
Jonathan J. Gourley
NOAA National Severe Storms Laboratory, Norman, OK 73072, USA
Tiantian Yang
Hydrology and Water Security Program, Civil Engineering and
Environmental Sciences, University of Oklahoma, Norman, OK 73072, USA
Xinyi Shen
Department of Civil and Environmental Engineering, University of
Connecticut, Storrs, CT 06269, USA
Randall Kolar
Hydrology and Water Security Program, Civil Engineering and
Environmental Sciences, University of Oklahoma, Norman, OK 73072, USA
Hydrology and Water Security Program, Civil Engineering and
Environmental Sciences, University of Oklahoma, Norman, OK 73072, USA
Viewed
Total article views: 5,683 (including HTML, PDF, and XML)
Cumulative views and downloads
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| HTML | XML | Total | BibTeX | EndNote | |
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- XML: 170
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Total article views: 4,485 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Aug 2021)
| HTML | XML | Total | BibTeX | EndNote | |
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| 3,482 | 863 | 140 | 4,485 | 137 | 180 |
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Total article views: 1,198 (including HTML, PDF, and XML)
Cumulative views and downloads
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Total article views: 5,683 (including HTML, PDF, and XML)
Thereof 5,411 with geography defined
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Total article views: 4,485 (including HTML, PDF, and XML)
Thereof 4,330 with geography defined
and 155 with unknown origin.
Total article views: 1,198 (including HTML, PDF, and XML)
Thereof 1,081 with geography defined
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Cited
17 citations as recorded by crossref.
- Effectiveness of nature-based solutions to reduce flooding in Quad Cities Metro Area (QCMA) using SWMM-HEC based flood model A. Wadhwa et al. https://doi.org/10.1007/s11707-025-1157-y
- Characterizing the number and nature of historical floods and implications for exposure characterization in New England, 2000–2018 M. Khemani et al. https://doi.org/10.1088/2752-5309/adedac
- Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states Z. Li et al. https://doi.org/10.1016/j.jhydrol.2021.127357
- Hydrogeomorphic Controls on Flood Susceptibility Revealed Through Machine Learning and Explainable AI in a Multi-hazard-prone Fragile Biodiversity Hotspot of India S. Karmakar & S. Sk https://doi.org/10.1007/s41403-026-00582-6
- Insurance as an Alternative for Sustainable Economic Recovery after Natural Disasters: A Systematic Literature Review . Kalfin et al. https://doi.org/10.3390/su14074349
- Environmental offsetting: What drives the choice of offset mechanism in the US Wetland Mitigation Program? J. Vaz et al. https://doi.org/10.1016/j.ecolecon.2025.108755
- Inland flooding in the United States: a review of research related to risk management, economic behavior, and data resources D. Muriqi et al. https://doi.org/10.1088/1748-9326/add35e
- Examining the Experiences in Developing Flood Disaster Database System From a Full-Cycle Management Perspective Y. LI et al. https://doi.org/10.15302/J-LAF-2026-0027
- How February 2022 redefines extreme floods in Australia J. Lerat & J. Vaze https://doi.org/10.1038/s43247-025-02307-z
- Severe floods significantly reduce global rice yields Z. Li et al. https://doi.org/10.1126/sciadv.adx7799
- Monitoring surface water in floodplains by satellites: Progress, challenges, and perspectives Y. Lin & C. Song https://doi.org/10.1016/j.jhydrol.2025.134458
- Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region Z. Li et al. https://doi.org/10.1016/j.envsoft.2022.105450
- Introducing Flashiness‐Intensity‐Duration‐Frequency (F‐IDF): A New Metric to Quantify Flash Flood Intensity Z. Li et al. https://doi.org/10.1029/2023GL104992
- Structural Hillslope Connectivity Is Driven by Tectonics More Than Climate and Modulates Hydrologic Extremes and Benefits A. Husic & A. Michalek https://doi.org/10.1029/2022GL099898
- A decadal review of the CREST model family: Developments, applications, and outlook Z. Li et al. https://doi.org/10.1016/j.hydroa.2023.100159
- Unveiling nature’s fury: Natech disasters for business – a continuous monitoring & reporting framework M. Lazirko & A. Gates https://doi.org/10.1080/13669877.2025.2466534
- The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario Z. Li et al. https://doi.org/10.1038/s43247-022-00409-6
17 citations as recorded by crossref.
- Effectiveness of nature-based solutions to reduce flooding in Quad Cities Metro Area (QCMA) using SWMM-HEC based flood model A. Wadhwa et al. https://doi.org/10.1007/s11707-025-1157-y
- Characterizing the number and nature of historical floods and implications for exposure characterization in New England, 2000–2018 M. Khemani et al. https://doi.org/10.1088/2752-5309/adedac
- Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states Z. Li et al. https://doi.org/10.1016/j.jhydrol.2021.127357
- Hydrogeomorphic Controls on Flood Susceptibility Revealed Through Machine Learning and Explainable AI in a Multi-hazard-prone Fragile Biodiversity Hotspot of India S. Karmakar & S. Sk https://doi.org/10.1007/s41403-026-00582-6
- Insurance as an Alternative for Sustainable Economic Recovery after Natural Disasters: A Systematic Literature Review . Kalfin et al. https://doi.org/10.3390/su14074349
- Environmental offsetting: What drives the choice of offset mechanism in the US Wetland Mitigation Program? J. Vaz et al. https://doi.org/10.1016/j.ecolecon.2025.108755
- Inland flooding in the United States: a review of research related to risk management, economic behavior, and data resources D. Muriqi et al. https://doi.org/10.1088/1748-9326/add35e
- Examining the Experiences in Developing Flood Disaster Database System From a Full-Cycle Management Perspective Y. LI et al. https://doi.org/10.15302/J-LAF-2026-0027
- How February 2022 redefines extreme floods in Australia J. Lerat & J. Vaze https://doi.org/10.1038/s43247-025-02307-z
- Severe floods significantly reduce global rice yields Z. Li et al. https://doi.org/10.1126/sciadv.adx7799
- Monitoring surface water in floodplains by satellites: Progress, challenges, and perspectives Y. Lin & C. Song https://doi.org/10.1016/j.jhydrol.2025.134458
- Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region Z. Li et al. https://doi.org/10.1016/j.envsoft.2022.105450
- Introducing Flashiness‐Intensity‐Duration‐Frequency (F‐IDF): A New Metric to Quantify Flash Flood Intensity Z. Li et al. https://doi.org/10.1029/2023GL104992
- Structural Hillslope Connectivity Is Driven by Tectonics More Than Climate and Modulates Hydrologic Extremes and Benefits A. Husic & A. Michalek https://doi.org/10.1029/2022GL099898
- A decadal review of the CREST model family: Developments, applications, and outlook Z. Li et al. https://doi.org/10.1016/j.hydroa.2023.100159
- Unveiling nature’s fury: Natech disasters for business – a continuous monitoring & reporting framework M. Lazirko & A. Gates https://doi.org/10.1080/13669877.2025.2466534
- The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario Z. Li et al. https://doi.org/10.1038/s43247-022-00409-6
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 28 May 2026
Short summary
This dataset is a compilation of multi-sourced flood records, retrieved from official reports, instruments, and crowdsourcing data since 1900. This study utilizes the flood database to analyze flood seasonality within major basins and socioeconomic impacts over time. It is anticipated that this dataset can support a variety of flood-related research, such as validation resources for hydrologic models, hydroclimatic studies, and flood vulnerability analysis across the United States.
This dataset is a compilation of multi-sourced flood records, retrieved from official reports,...
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